Specialization

High-Dimensional Data Modelling, Computational Neuroscience, Natural Language Processing, Brain-Computer Interface (BCI) Modelling, Computer Vision, and Medical Image Analysis

Email

anurag.tiwari@thapar.edu

Education
•    Ph.D. (Thesis Submitted) in Computer Science and Engineering, from Indian Institute of Technology (IIT), BHU, Varanasi, Uttar Pradesh 
•    M. Tech. in Computer Science and Engineering, from Indian Institute of Information Technology, Prayagraj, Uttar Pradesh
•    B. Tech in Computer Science and Engineering, from Gautam Buddh Technical University, Lucknow, Uttar Pradesh

Experience
1.    Assistant Professor at Thapar Institute of Technology (Patiala, Punjab) (Currently working)
2.    Assistant professor at the University of Petroleum and Energy Studies, Dehradun (India). (July 2016 – December 2017)
3.    Assistant Professor in Vellore Institute of Technology (Bhopal Campus, M.P) (Apr. 2022- Aug 2022)

Journal publications:

1.    Tiwari, A., & Chaturvedi, A. (2022). A hybrid feature selection approach based on information theory and dynamic butterfly optimization algorithm for data classification. Expert Systems with Applications, 196, 116621. 
2.    Tiwari, A., & Chaturvedi, A. (2021). A Novel Channel selection method for BCI classification using Dynamic Channel relevance. IEEE Access, 9, 126698-126716. 
3.    Tiwari, A., & Chaturvedi, A. (2022). Automatic Channel Selection using Multiobjective X-shaped Binary Butterfly algorithm for Motor Imagery Classification. Expert Systems with Applications, 117757.
4.    Tiwari, A., & Chaturvedi, A. (2022). Automatic EEG channel selection for multiclass brain-computer interface classification using multiobjective improved firefly algorithm. Multimedia Tools and Applications, 1-29. 
5.    Saba, L., Tiwari, A., Biswas, M., Gupta, S. K., Godia-Cuadrado, E., Chaturvedi, A., ... & Suri, J. S. (2019). Wilson’s disease: A new perspective review on its genetics, diagnosis and treatment. Frontiers in Bioscience-Elite, 11(1), 166-185.
6.    "Wilson’s disease Classification using Higher order Gabor Tensors and Support Vector Machine on Brain Magnetic Resonance Imaging" Accepted in Multimedia Tools and Applications (Single Author Paper)

7.  A Logistic Binary Jaya Optimization-based Channel Selection Scheme for Motor-Imagery Classification in Brain-Computer Interface (Expert Systems with Applications)- Single Author paper

International Conference Papers in Proceedings:
1.    Tiwari, Anurag, and Amrita Chaturvedi. "A Multiclass EEG Signal Classification Model using Spatial Feature Extraction and XGBoost Algorithm." In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4169-4175. IEEE, 2019. (Core Ranking- A)
2.    A multichannel EEG Signal Classification Model using Channel Interaction Maximziation and MEMD Feature Extraction (Accepted in the 29th International Conference on Neural Information Processing (ICONIP 2022)- Core rank B)
3.    Chaturvedi, Shivam, Amrita Chaturvedi, Anurag Tiwari, and Shalini Agarwal. "Design Pattern Detection using Machine Learning Techniques." In 2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), pp. 1-6. IEEE, 2018.
4.    Tiwari, Anurag, and Amrita Chaturvedi. "Class partition approach for software effort estimation using support vector machine." In 2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON), pp. 653-659. IEEE, 2016.
5.    Misra, Diganta, Anurag Tiwari, and Amrita Chaturvedi. "Large-Scale MetaAnalysis of Genes Encoding Pattern in Wilson's Disease." In Advances in Computer Communication and Computational Sciences, pp. 389-400. Springer, Singapore, 2019. (Best Paper)
6.    A. Tiwari and S. Mishra, "Higher-Order Dynamic Mode Decomposition and Multichannel Singular Spectrum Decomposition Hybridization for BCI Feature Extraction," 2022 International Conference for Advancement in Technology (ICONAT), 2022, pp. 1-6, doi: 10.1109/ICONAT53423.2022.9726019.

Abroad Visit(s)
•    Paper presentation in MACAU (China) in 2019
Book Chapters
1.    Learning with Software-Defined Area published in Innovations in Software-Defined Networking and Network Functions Virtualization
2.    Deep Learning: An Overview and Innovative Approach in Machine Learning

Professional Activities 
               
            Reviewer of six SCI Journals mentioned below

1.    Nature (Computer Science) 
2.    Pattern Analysis and Applications 
3.    Computers in Biology and Medicine 
4.    IEEE ACCESS 
5.    Cognitive Neurodynamics 
6.    Applied Intelligence.

**    Editorial Manager at MethodsX (Elsevier Publisher)

Honors, Awards and Recognition

1.    Graduate aptitude test in Engineering Scholarship in Computer Science and Engineering:     2014-     2016
2.    Travel grants for International Conference on Intelligent Robots and Systems (IROS) held in Macau (China) in 2019
3.    Best Paper Award in International Conference on Computer, Communication and Computational Sciences (2018) held in Thailand (2018)
4.     Prestigious Gate Rank Award in 2012, 2014, 2015, 2016, 2017.